{"id":"W4388278635","doi":"10.1002/adhm.202301894","title":"Electroconductive Collagen‐Carbon Nanodots Nanocomposite Elicits Neurite Outgrowth, Supports Neurogenic Differentiation and Accelerates Electrophysiological Maturation of Neural Progenitor Spheroids","year":2023,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Concordia University; Carleton University; University of Ottawa","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Government of Canada","keywords":"Neurite; Neural stem cell; Neuroscience; Progenitor cell; NMDA receptor; Cell biology; Chemistry; Stem cell; Biophysics; Biology; Receptor; In vitro; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007008517,0.0002110989,0.00005296864,0.0001209836,0.00005656937,0.0001151691,0.00006234462,0.0001436599,0.0003751978],"category_scores_gemma":[0.00006595213,0.00006181791,0.00007551396,0.00005200546,0.00009657626,0.00009107087,0.00007401128,0.0001476281,0.00006139808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001542477,"about_ca_system_score_gemma":0.000121238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006031064,"about_ca_topic_score_gemma":0.002270619,"domain_scores_codex":[0.9999623,0.000004545615,0.000003333862,0.000009083159,0.0000142309,0.000006559816],"domain_scores_gemma":[0.9999491,0.00001092798,0.00001322772,0.000003544727,0.000009078709,0.00001413862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009499159,0.000004865406,0.0000404213,0.00001059505,9.461814e-7,0.00001579575,0.000003295111,0.00003924569,0.9995643,0.00001306046,0.000006318397,0.0002916001],"study_design_scores_gemma":[0.000002519742,0.00006972877,0.001229749,0.000002285126,0.000003981448,0.00005511635,0.000008130368,0.0005974673,0.997447,0.000006852753,0.0005755777,0.000001679999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962657,0.0004846507,0.002013677,0.00003115988,0.00001552282,0.00001283152,0.00007028654,0.00002707768,0.001079033],"genre_scores_gemma":[0.9969548,0.0003174733,0.001730371,0.0000170392,0.00000317745,0.000009416503,0.00007074997,0.00000537803,0.0008916306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006031064,"threshold_uncertainty_score":0.001255214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105323607831196,"score_gpt":0.2418318509508688,"score_spread":0.2312994901677492,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}